%0 Journal Article
%T 3G环境下基于客户价值分类的电信客户流失预测研究<br>Research on Telecom Customer Churn Prediction Based on Customer Value Classification in 3G Environment
%A 徐麟
%A 朱志国
%A 李会录
%A 李敏
%J Hans Journal of Data Mining
%P 28-36
%@ 2163-1468
%D 2016
%I Hans Publishing
%R 10.12677/HJDM.2016.61004
%X <div style=\"text-align:justify;\">
	<span style=\"line-height:1.5;\">电信客户流失问题是电信运营商面临的迫切需要解决的问题。本文针对3G环境下，根据客户三个月平均消费水平进行客户价值划分，综合运用数据挖掘中决策树算法和聚类算法进行建模，引入混淆矩阵对模型进行评估，利用模型输出的规则集有针对性的进行流失客户维系营销，从而达到降低客户流失，提高营销效率，提升电信运营商核心竞争力的目的。<br />
Telecom operators are facing an urgent problem of telecom customer churn that should be solved as soon as possible. This paper, according to the three-month average customer consumption, di-vides the levels of customer value, comprehensively uses decision tree algorithm and clustering algorithm modeling of data mining, introduces confusion matrix model for model evaluation, and uses the model output rules set for targeted customers’ maintaining marketing, so as to reduce customer churn, improve the efficiency of marketing, and enhance the core competitiveness of telecom operators in 3G environment.</span><span style=\"line-height:1.5;\"></span> 
</div>
%K 客户流失，数据挖掘，决策树，混淆矩阵<br>Customer Churn
%K Data Mining
%K Decision Tree
%K Confusion Matrix
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=16762